根据字典元素创建Pandas数据框 [英] Creating a Pandas dataframe from elements of a dictionary

问题描述

我正在尝试根据字典创建熊猫数据框.字典设置为

I'm trying to create a pandas dataframe from a dictionary. The dictionary is set up as

nvalues = {"y1": [1, 2, 3, 4], "y2": [5, 6, 7, 8], "y3": [a, b, c, d]}

我希望数据框仅包含"y1" 和" y2" .到目前为止，我可以使用

I would like the dataframe to include only "y1" and "y2". So far I can accomplish this using

df = pd.DataFrame.from_dict(nvalues)
df.drop("y3", axis=1, inplace=True)

我想知道是否可以在没有 df.drop()

I would like to know if it is possible to accomplish this without having df.drop()

推荐答案

您可以在 DataFrame 构造函数中指定列:

You can specify columns in the DataFrame constructor:

pd.DataFrame(nvalues, columns=('y1', 'y2'))

   y1  y2
0   1   5
1   2   6
2   3   7
3   4   8

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